Scott Miner 📈

Scott Miner

Quantitative Analyst & Python/.NET Engineer

Onward Energy

Professional Summary

Quantitative analyst and .NET/Python engineer at Onward Energy in Denver. I build forecasting models, market-data platforms, and the MLOps and CI/CD that keep them honest, backed by an M.S. in Data Analytics (AI & ML, 4.0 GPA) and a decade of SQL Server, analytics, and full-stack work.

Education

M.S. in Data Analytics (AI & Machine Learning)

Colorado State University Global

Programming Specialist Certificate

Red Rocks Community College

Software Developer Certificate

Red Rocks Community College

B.A. in Psychology, cum laude

University of Maryland, Baltimore County

Interests

Time-Series Forecasting & Machine Learning MLOps, Experiment Tracking & Model Governance Data Platforms on SQL Server, Power BI & Azure Full-Stack .NET & Python Engineering
My Story

Today I work on the quantitative analytics team at Onward Energy in Denver, where I took an ISO-NE day-ahead/real-time spread forecasting program from a blank repository to a desk-adopted daily Offer Plan, and where I build and operate the New England market-data platform and Power BI estate behind it. The part I care most about is the engineering around the models: walk-forward backtests, calibrated classifiers, an MLflow registry, data-quality monitors, and gated pipelines where merging to main is the deploy.

That habit of starting every project with clean, well-modeled data comes from the road here: migrating municipal court systems at Journal Technologies, building SSIS and T-SQL pipelines that handled 50 million records per file at MeritDirect, institutional research at the Community College of Aurora while finishing an M.S. in Data Analytics (AI & ML, 4.0 GPA), data-science engineering and an Excellence in Analytics Award at Echo Global Logistics, and research data engineering for the 988 Lifeline at Vibrant Emotional Health.

On the side I build full-stack apps in Vue, Angular, Django, and ASP.NET, and I write about what I learn. I’m always eager to collaborate, share knowledge, and explore how data and software can turn ideas into reality.

Experience

Analyst, Quantitative Analytics

Onward Energy

  • Built an end-to-end day-ahead/real-time (DART) spread forecasting and offer-recommendation system for two ISO-NE wind assets, taking it from a blank repo to a desk-adopted daily Offer Plan in eight months
  • Deployed per-asset XGBoost direction classifiers with Platt and isotonic calibration and 11,400-hour walk-forward backtests; live 153-day out-of-sample hit rates matched the backtest
  • Cut live day-ahead LMP forecast RMSE by more than half across three walk-forward retrains with RandomForest regressors, 34% better than 48-hour persistence on holdout MASE
  • Established MLOps on a SQL Server-backed MLflow server (39 experiments, 2,500+ runs), a SQL model registry, gated quarterly retrains, and 1,364 unit tests behind 52 gated production deploys
  • Own the .NET Framework 4.8 ISO-NE data importer: 84 SQL Agent jobs, 70 REST endpoints plus eMarket SOAP over mutual TLS, 76 report types into 41 tables at 99.92% success across 124K loads
  • Designed a 17-page ISO-NE DART Optimization Power BI dashboard (39-table semantic model, 336 measures) with hybrid tables and gated CI/CD where merging to main is the publish
Python XGBoost PyTorch MLflow C# / .NET SQL Server Power BI Azure Pipelines

Data Analyst

Vibrant Emotional Health

  • Built analysis-ready datasets for 988 Lifeline researchers through private R packages (dbutils, lldt), cutting manual data preparation 25% and standardizing database access across studies
  • Designed threshold-based anonymization that kept sensitive crisis-line data usable for research while cutting privacy risk 30% and collaboration overhead 40%
  • Automated reproducible data exchange between GitHub, Files.com, and Google Drive so research datasets moved between systems without manual handoffs
R SQL Data Privacy Automation

Data Science Engineer

Echo Global Logistics

  • Engineered the delivery side of a data science team: RESTful APIs and queue-based processing serving logistics quoting improved quoting accuracy 30% and earned the 2022 Excellence in Analytics Award
  • Automated CI/CD for analytics and model code in Azure DevOps with Python and Bash, increasing deployment speed 40% and cutting manual operations 50%
  • Partnered with data science, engineering, and operations to harden cloud infrastructure for analytics workloads, improving efficiency and scalability 35%
Python Azure DevOps REST APIs CI/CD

Data Analyst

Community College of Aurora

  • Analyzed student retention in Excel and Cognos to identify at-risk groups and intervention strategies, improving retention 10%, while completing an M.S. in Data Analytics
  • Built Tableau dashboards of enrollment trends by zip code that directed targeted marketing, driving 20% enrollment growth in key areas
  • Translated analysis into policy and resource-allocation recommendations adopted by leadership, contributing to a 15% increase in total student population
Tableau Cognos Excel SAS

Senior SQL Server Developer

Anteriad (formerly MeritDirect)

  • Engineered SSIS and T-SQL pipelines processing up to 50M records per file, the data-quality foundation for marketing analytics and targeting
  • Wrote C# components in SSIS to detect and auto-correct file-level errors, cutting error rates 40% and processing time 25%
  • Built data-cleaning stored procedures that standardized inbound customer records, raising ETL throughput 30%
SQL Server SSIS T-SQL C#

Data Conversion Specialist

Journal Technologies

  • Led the migration of Fort Worth Municipal Court data from a case-centric to a person-centric model, an entity-resolution style redesign that raised case-management throughput 20%
  • Rewrote Java-based conversion APIs as set-based SQL with tSQLt unit tests at Sandy Springs Municipal Court, cutting project runtime by over 80%
  • Rescued stalled municipal court migration projects through source-data profiling and validation, delivering seamless data transitions
SQL tSQLt Data Migration

Education

M.S. in Data Analytics (AI & Machine Learning)

Colorado State University Global

4.0 GPA, October 2019 to December 2021. Earned the SAS academic specializations in Applied Data Analytics, Predictive Analytics Management, and Business Intelligence & Performance Management along the way.

Programming Specialist Certificate

Red Rocks Community College

4.0 GPA.

Software Developer Certificate

Red Rocks Community College

B.A. in Psychology, cum laude

University of Maryland, Baltimore County

Certifications
Excellence in Analytics Award
Echo Global Logistics ∙ December 2022
Recognized for the RESTful APIs and queue-based processing behind logistics quoting, which improved quoting accuracy by 30%.
SAS Academic Specialization in Applied Data Analytics (Tier 3)
SAS & Colorado State University Global ∙ December 2021
Machine learning, statistical analysis, data visualization, data mining, predictive analytics, and text analytics with SAS Enterprise Miner and SAS Studio.
See certificate
SAS Academic Specialization in Predictive Analytics Management (Tier 1)
SAS & Colorado State University Global ∙ December 2021
SAS programming, statistical analysis, data mining, descriptive and predictive analytics with SAS Enterprise Miner and SAS Studio.
See certificate
SAS Academic Specialization in Business Intelligence and Performance Management (Tier 1)
SAS & Colorado State University Global ∙ December 2021
SAS datasets and programming, statistical analysis, data visualization, data mining, descriptive and predictive analytics.
See certificate